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Posts by Collection
portfolio
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publications
Enhancing Reasoning Capabilities by Instruction Learning and Chain-of-Thoughts for Implicit Discourse Relation Recognition
Published in Findings of the Association for Computational Linguistics (EMNLP 2023) , 2023
This paper proposes a novel approach, IICOT, that leverages generative models, instruction learning, and chain-of-thoughts to enhance reasoning capabilities for implicit discourse relation recognition, achieving state-of-the-art performance on benchmark datasets.
Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition
Published in Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), 2024
This paper proposes a joint learning framework that combines prototypical learning, adversarial learning, and hub-migration based redistribution to enhance the performance of Pre-trained Language Models (PLMs) for implicit discourse relation recognition.
Using Subtext to Enhance Generative IDRR
Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL 2025), 2025
This paper introduces a Subtext-based Confidence-diagnosed Dual-channel Network (SCDN) for enhancing Implicit Discourse Relation Recognition (IDRR) by incorporating subtexts generated through LLaMA. The approach demonstrates significant improvements in recognizing semantic relations between argument pairs, highlighting the importance of subtexts as valuable contextual clues that enrich the understanding of implicit relations, ultimately resulting in higher F1-scores on benchmark datasets.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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